CA3 axonal calcium imaging

Memorizing locations that are harmful or dangerous is a key capability of all organisms, and requires an integration of affective and spatial information. In mammals, the dorsal hippocampus mainly processes spatial information, while the intermediate to ventral hippocampal divisions receive affective information via the amygdala. However, how spatial and aversive information is integrated is currently unknown.
To address this question, we recorded the activity of hippocampal long-range CA3 axons at single axon resolution in mice forming an aversive spatial memory. We show that intermediate CA3 to dorsal CA3 (i-dCA3) projections rapidly overrepresent areas preceding the location of an aversive stimulus, due to a spatially selective addition of newly place-coding axons, followed by a spatially nonspecific stabilization. This sequence significantly improves the encoding of location by the i-dCA3 axon population.
These results suggest that i-dCA3 axons transmit a precise, denoised and stabl..., The calcium imaging data was obtained through chronic two-photon awake imaging of CA3 axons within the murine hippocampus. Concurrently, behavioral data was gathered from the experimental setup using a LabView-based customized software. The analysis of the imaging data was performed in MATLAB, utilizing standard toolboxes, open-access toolboxes, and custom-written code. The treadmill behavioral data was partially analyzed in MATLAB and partially in Python., , # CA3 axonal calcium imaging

[https://doi.org/10.5061/dryad.stqjq2c72](https://doi.org/10.5061/dryad.stqjq2c72)

This data set contains the calcium imaging and behavioral data used in Nikbakht et al.,'s \"**Efficient encoding of aversive location by CA3 long-range projections**\". The data set contains the preprocessed imaging and behavior data for 8 animals over 8 behavioral sessions. The formatting of the data set is MATLAB files (*.m).

Code available on: [https://github.com/negarniki/Efficient-encoding-of-aversive-location-by-CA3-long-range-projections](https://github.com/negarniki/Efficient-encoding-of-aversive-location-by-CA3-long-range-projections)

## Description of the data and file structure

The **BigFatCluster.m** is structured in a way that the columns represent 8 animals (1-4: i-d, 5-8:d-d) over 8 behavioral sessions.

**cclustID.m** contains the table guide headers.

The tracked data over session pairs are named after the respective sessions.

**BigFatPCA.m** contains the ...

记忆有害或危险场所是所有生物的核心能力之一，该过程需要整合情感与空间信息。在哺乳动物中，背侧海马主要负责处理空间信息，而中间至腹侧海马分区则通过杏仁核接收情感信息。然而，目前学界尚不清楚空间与厌恶性信息究竟如何实现整合。

为解答这一科学问题，我们在形成厌恶性空间记忆的小鼠中，以单轴突分辨率记录了海马远距离CA3轴突的活动。研究发现，由于空间选择性地新增了位置编码轴突，随后又发生空间非特异性稳定化过程，中间CA3至背侧CA3（i-dCA3）投射会快速过度表征厌恶性刺激位点之前的区域。该过程显著提升了i-dCA3轴突群体对场所的编码效率。

上述结果表明，i-dCA3轴突可传递精准、去噪且稳定（原文此处截断）的信号。本研究的钙离子成像数据通过对小鼠海马内CA3轴突进行慢性双光子清醒成像获取。与此同时，实验装置采用基于LabView的定制软件采集行为学数据。成像数据的分析在MATLAB中完成，使用了标准工具箱、开源工具箱以及自主编写的代码。跑步机行为学数据则部分通过MATLAB、部分通过Python完成分析。

# CA3轴突钙离子成像

[https://doi.org/10.5061/dryad.stqjq2c72](https://doi.org/10.5061/dryad.stqjq2c72)

本数据集包含Nikbakht等人发表于"**Efficient encoding of aversive location by CA3 long-range projections**"一文中所用的钙离子成像与行为学数据。数据集涵盖了8只动物在8个行为学会话中的预处理成像与行为数据，数据格式为MATLAB文件（*.m）。

代码已开源至：[https://github.com/negarniki/Efficient-encoding-of-aversive-location-by-CA3-long-range-projections](https://github.com/negarniki/Efficient-encoding-of-aversive-location-by-CA3-long-range-projections)

## 数据与文件结构说明
**BigFatCluster.m**的列对应8只动物（1-4号为i-d组，5-8号为d-d组）的8个行为学会话。
**cclustID.m**包含表格表头指南。
会话对的追踪数据以对应会话名称命名。
**BigFatPCA.m**包含……（原文此处截断）